code: def tf_mobilenetv3_small_minimal_100(pretrained=False, **kwargs):
      """MobileNet V3 Small Minimalistic 1.0. Tensorflow compat variant."""
      kwargs["bn_eps"] = BN_EPS_TF_DEFAULT
      kwargs["pad_type"] = "same"
      model = _gen_mobilenet_v3(
          "tf_mobilenetv3_small_minimal_100",
          1.0,
          pretrained=pretrained,
          **kwargs,
      )
      return model
  
imports: import torch.nn
  import torch.nn.functional
  from .activations import get_act_fn, get_act_layer, HardSwish
  from .config import layer_config_kwargs
  from .conv2d_layers import select_conv2d
  from .helpers import load_pretrained
  from .efficientnet_builder import *
label_desc: Use image node_id 16 for calling a global function with example usage: tf_mobilenetv3_small_minimal_100(pretrained) and returns: model